AIMC Topic: Vaccination

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A fuzzy MICMAC analysis for improving supply chain performance of basic vaccines in developing countries.

Expert review of vaccines
INTRODUCTION: In recent years, demand to improve child immunization coverage globally, and the development of the latest vaccines and technology has made the vaccine market very complex. The rise in such complexities often gives birth to numerous iss...

Leveraging machine learning-based approaches to assess human papillomavirus vaccination sentiment trends with Twitter data.

BMC medical informatics and decision making
BACKGROUND: As one of the serious public health issues, vaccination refusal has been attracting more and more attention, especially for newly approved human papillomavirus (HPV) vaccines. Understanding public opinion towards HPV vaccines, especially ...

An inactivated influenza D virus vaccine partially protects cattle from respiratory disease caused by homologous challenge.

Veterinary microbiology
Originally isolated from swine, the proposed influenza D virus has since been shown to be common in cattle. Inoculation of IDV to naïve calves resulted in mild respiratory disease histologically characterized by tracheitis. As several studies have as...

An informed deep learning model of the Omicron wave and the impact of vaccination.

Computers in biology and medicine
The Omicron (B.1.1.529) variant of SARS-CoV-2 emerged in November 2021 and has since evolved into multiple lineages. Understanding its transmission, vaccine efficacy, and potential for reinfection is crucial. This study examines the dynamics of Omicr...

An oral norovirus vaccine generates mucosal immunity and reduces viral shedding in a phase 2 placebo-controlled challenge study.

Science translational medicine
There are currently no licensed vaccines for norovirus, a leading cause of epidemic and endemic gastroenteritis worldwide. Clinical advancement of promising vaccine candidates from phase 2 studies to phase 3 field trials has been hampered by the lack...

TWINVAX: conceptual model of a digital twin for immunisation services in primary health care.

Frontiers in public health
INTRODUCTION: This paper presents a proposal for the modelling and reference architecture of a digital twin for immunisation services in primary health care centres. The system leverages Industry 4.0 concepts and technologies, such as the Internet of...

Modeling protective meningococcal antibody responses and factors influencing antibody persistence following vaccination with MenAfriVac using machine learning.

PloS one
Meningococcal meningitis poses a significant public health burden in the meningitis belt region of sub-Saharan Africa. The introduction of the meningococcal PsA-TT vaccine (MenAfriVac®) has successfully eliminated Neisseria meningitidis serogroup A (...

Vaccination hesitancy: agreement between WHO and ChatGPT-4.0 or Gemini Advanced.

Annali di igiene : medicina preventiva e di comunita
BACKGROUND: An increasing number of individuals use online Artificial Intelligence (AI) - based chatbots to retrieve information on health-related topics. This study aims to evaluate the accuracy in answering vaccine-related answers of the currently ...

Analyzing factors of daily travel distances in Japan during the COVID-19 pandemic.

Mathematical biosciences and engineering : MBE
The global impact of the COVID-19 pandemic is widely recognized as a significant concern, with human flow playing a crucial role in its propagation. Consequently, recent research has focused on identifying and analyzing factors that can effectively r...

Predictive overfitting in immunological applications: Pitfalls and solutions.

Human vaccines & immunotherapeutics
Overfitting describes the phenomenon where a highly predictive model on the training data generalizes poorly to future observations. It is a common concern when applying machine learning techniques to contemporary medical applications, such as predic...